most citedPredicting the black hole mass and correlations in X-ray reverberating AGN using neural networks

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2024

Emergence of a Bandgap in Nano-Scale Graphite: A Computational and Experimental Study

Sujinda Chaiyachad, Trung-Phuc Vo, Warakorn Jindata +12

Bandgaps in layered materials are critical for enabling functionalities such as tunable photodetection, efficient energy conversion, and nonlinear optical responses, which are esse…

astro-ph.HE2022★ 11 cited

Predicting the black hole mass and correlations in X-ray reverberating AGN using neural networks

P. Chainakun, I. Fongkaew, S. Hancock +1

We develop neural network models to predict the black hole mass using 22 reverberating AGN samples in the XMM-Newton archive. The model features include the fractional excess varia…